@incollection{agenttoolkit-eumas2025,
abstract = {Intelligent agents have been a cornerstone of Artificial Intelligence (AI) since its early days—and received significant attention in the 1990s when the notion of autonomous agent was established, giving rise to research on Engineering Multi-Agent Systems (EMAS). Traditionally, this area has focused on theories, architectures, methodologies, paradigms, and languages for designing, implementing, and governing systems of autonomous agents. More recently, advances in Generative AI—and specifically large language models—have led to a new generation of agents and multi-agent systems, often referred to as Agentic AI. However, the conceptual bridges, overlaps, and complementarities between Agentic AI and traditional EMAS research are often unclear. The Agent Toolkits 2025 community session invited positions statements from senior members of the EMAS community to discuss these recent developments. This paper summarizes and integrates their contributions and outlines key directions for research on EMAS with Generative AI.},
apice = {AgenttoolkitEumas2025},
author = {Andrei Ciortea and Katharine Beaumont and Gianluca Aguzzi and Matteo Baldoni and Cristina Baroglio and Amit K. Chopra and Ciatto, Giovanni and Rem W. Collier and Mehdi Dastani and Angelo Ferrando and Andrea Gatti and Gürcan, Önder and Timotheus Kampik and Jérémy Lemée and Somsakun Maneerat and Elisa Marengo and Viviana Mascardi and Simon Mayer and Roberto Micalizio and Guillaume Muller and Vivek Nallur and Richard Niamke and Andrei Olaru and Heloise Pajot and Chloé Petridis and I. S. W. B. Prasetya and Ricci, Alessandro and Alexandru Sorici and Stefano Tedeschi and Michael Winikoff},
booktitle = {Multi-Agent Systems: 22nd European Conference, EUMAS 2025, Bucharest, Romania, September 3–5, 2025, Proceedings, Part I},
dblp = {conf/eumas/CiorteaBABBCCCDFGGKLMMM25.bib},
doi = {10.1007/978-3-032-22817-8_22},
editor = {Matteo Baldoni and Franziska Klügl and Andrei Olaru and Alexandru Sorici and Adina Magda Florea},
keywords = {Engineering Multi-Agent Systems, Generative AI, Agent Toolkits},
pages = {379--401},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
subseries = {Lecture Notes in Artificial Intelligence},
title = {Engineering Multi-agent Systems and Generative {AI:} Report from the Agent Toolkits 2025 Community Session},
url = {https://link.springer.com/10.1007/978-3-032-22817-8_22},
urlpdf = {https://link.springer.com/content/pdf/10.1007/978-3-032-22817-8_22.pdf},
volume = 16258,
year = 2025
}@article{llmoracles-kbs310,
acm = {10.1016/j.knosys.2024.112940},
apice = {LlmoraclesKbs310},
articleno = 112940,
arxiv = {2404.04108},
author = {Ciatto, Giovanni and Agiollo, Andrea and Magnini, Matteo and Omicini, Andrea},
dblp = {journals/kbs/CiattoAMO25},
doi = {10.1016/j.knosys.2024.112940},
iris = {11585/1001205},
issn = {0950-7051},
journal = {Knowledge-Based Systems},
keywords = {Ontology population; Large language models; Nutrition; Automation; Domain-specific knowledge},
lens = {002-808-574-876-090},
month = {15~} # feb,
numpages = 22,
openalex = {W4406141444},
opencitations = {0606112740},
pages = {1--22},
publisher = {Elsevier B.V.},
scholar = {12608317221311042342},
scopus = {2-s2.0-85214522484},
title = {Large language models as oracles for instantiating ontologies with domain-specific knowledge},
url = {https://www.sciencedirect.com/science/article/pii/S0950705124015740},
urlopenaccess = {https://www.sciencedirect.com/science/article/pii/S0950705124015740},
volume = 310,
wos = {WOS:001397431800001},
year = 2025
}@book{extraamas2025,
apice = {Extraamas2025},
dblp = {conf/extraamas/2025},
doi = {10.1007/978-3-032-01399-6},
editor = {Davide Calvaresi and Amro Najaar and Omicini, Andrea and Reyhan Aydogan and Rachele Carli and Ciatto, Giovanni and Simona Tiribelli and Kary Främling},
eisbn = {978-3-032-01399-6},
eissn = {1611-3349},
iris = {11585/1048535},
isbn = {978-3-032-01398-9},
issn = {0302-9743},
keywords = {Multi-Agent Systems, Computing most probable explanation, Machine Learning, Law, Social and Behavioral Sciences, Artificial Intelligence, Knowledge Representation and Reasoning, Rule Learning},
lens = {152-897-082-698-933},
month = oct,
openalex = {W4414994966},
publisher = {Springer},
scholar = {9214865659693901175},
series = {Lecture Notes in Computer Science},
subseries = {Lecture Notes in Artificial Intelligence},
subtitle = {7th International Workshop, EXTRAAMAS 2025, Detroit, MI, USA, May 19–20, 2025, Revised Selected Papers},
title = {Explainable, Trustworthy, and Responsible AI and Multi-Agent Systems},
url = {https://link.springer.com/10.1007/978-3-032-01398-9},
urlpdf = {https://link.springer.com/content/pdf/10.1007/978-3-032-01398-9.pdf},
volume = 15939,
year = 2025
}@incollection{fairbridge-hiccs2025,
apice = {FairnessHicss2025},
author = {Ciatto, Giovanni and Matteini, Mattia and Laura Sartori and Maria Rebrean and Catelijne Muller and Andrea Borghesi and Calegari, Roberta},
booktitle = {Proceedings of the 58th Hawaii International Conference on System Sciences},
doi = {10.24251/HICSS.2025.777},
iris = {11585/1018911},
isbn = {978-0-9981331-8-8},
keywords = {AI and Digital Discrimination, artificial intelligence, bias, design, fairness, multi-disciplinarity},
location = {Hawaii, HI, USA},
numpages = 10,
openalex = {w4407208122},
pages = {6504--6513},
scholar = {5084539886289942855},
scopus = {2-s2.0-105005142003},
title = {{AI}-fairness: the {FAIRBRIDGE} approach to practically bridge the gap between socio-legal and technical perspectives},
url = {https://hdl.handle.net/10125/109625},
wos = {WOS:001443246900761},
year = 2025
}@inproceedings{plangenerationbdi-ecai2025,
abstract = {Extending BDI agents with the ability to autonomously generate plans has long been a goal in the field of cognitive agent engineering to enhance their adaptability. Recent advances in GenAI are now opening new possibilities for plan generation, by leveraging the natural-language understanding, mean-end reasoning, and abstraction capabilities of LLMs. In this paper, we investigate the integration of GenAI-based plan generation into AgentSpeak(L) agents, and we analyse the implications of transferring knowledge between the LLM and the BDI agent, for the sake of dynamic plan generation. We propose a coherent framework where AgentSpeak(L) is extended with plan generation, and we model the boundaries of the generative process. We prototype our framework via the JaKtA BDI agent technology, and we methodologically assess the quality of the plans generated by LLMs of different sorts.},
apice = {PlanGenerationBDIEcai2025},
author = {Ciatto, Giovanni and Aguzzi, Gianluca and Battistini, Riccardo and Baiardi, Martina and Samuele Burattini and Ricci, Alessandro},
booktitle = {28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy – Including 14th Conference on Prestigious Applications of Intelligent Systems (PAIS 2025)},
doi = {10.3233/FAIA251223},
editor = {Inês Lynce and Nello Murano and Mauro Vallati and Serena Villata and Chesani, Federico and Milano, Michela and Omicini, Andrea and Mehdi Dastani},
keywords = {belief desire intention, BDI, multi-agent systems, planning, GenAI, LLM},
numpages = 8,
openalex = {W4415428067},
pages = {3495--3502},
publisher = {IOS Press},
series = {Frontiers in Artificial Intelligence and Applications},
title = {Exploiting GenAI for Plan Generation in BDI Agents},
type = {InProceedings},
url = {https://ebooks.iospress.nl/doi/10.3233/FAIA251223},
urlopenaccess = {https://ebooks.iospress.nl/doi/10.3233/FAIA251223},
volume = 413,
year = 2025
}@proceedings{woa2025,
apice = {Woa2025},
editor = {Ciatto, Giovanni and Enrico Blanzieri and Viviana Mascardi},
issn = {1613-0073},
location = {Trento, TN, Italy},
month = {set},
publisher = {Sun SITE Central Europe, RWTH Aachen University},
series = {CEUR Workshop Proceedings},
subseries = {AIxIA Series},
title = {WOA 2025 – 26th Workshop ``From Objects to Agents''},
url = {https://ceur-ws.org/Vol-4028/},
urlopenaccess = {https://ceur-ws.org/Vol-4028/},
volume = 4028,
year = 2025
}@inproceedings{agentsvsllmspanelwoa2025-eumas2025,
apice = {Agentsvsllmspanelwoa2025Eumas2025},
author = {Aguzzi, Gianluca and Ciatto, Giovanni and Angelo Ferrando and Andrea Gatti and Viviana Mascardi},
booktitle = {Agent Toolkits Community Session @ EUMAS 2025, Informal Proceedings},
location = {Bucharest, Romania},
month = {3~} # sep,
title = {{LLMs} as Agents, {LLMs} at the Service of Agents, or Agents at the Service of {LLMs}?},
url = {https://interactions.ics.unisg.ch/agent-toolkits-2025/papers/aguzzi-et-al.pdf},
year = 2025
}@inproceedings{dslnesy-ansya2025,
apice = {DslNesyAnsya2025},
author = {Matteini, Mattia and Ciatto, Giovanni and Magnini, Matteo and Kuru, Emre and Aydo{\u g}an, Reyhan and Omicini, Andrea},
booktitle = {ANSyA 2025: Advanced Neuro-Symbolic Applications},
dblp = {conf/ansya/MatteiniCMKAO25},
editor = {Agiollo, Andrea and Bardhi, Enkeleda and Ciatto, Giovanni and Dumancic, Giovanni and Marra, Giuseppe},
iris = {11585/1048553},
keywords = {symbolic knowledge injection, SKI-lang, NeSy, language, Python},
month = oct,
note = {Proceedings of the 1st International Workshop on Advanced Neuro-Symbolic Applications co-located with the 28th European Conference on Artificial Intelligence (ECAI 2025)},
numpages = 9,
pages = {84--92},
publisher = {CEUR-WS},
scholar = {5084539886289942855},
scopus = {2-s2.0-105038978909},
series = {CEUR Workshop Proceedings},
title = {A Domain-Specific Language for {NeSy} Focussing on Symbolic Knowledge Injection},
url = {https://ceur-ws.org/Vol-4125/paper_21.pdf},
urlopenaccess = {https://ceur-ws.org/Vol-4125/paper_21.pdf},
urlpdf = {https://ceur-ws.org/Vol-4125/paper_21.pdf},
volume = 4125,
wos = {WOS:001664416600013},
year = 2025
}@inproceedings{nesyaichronicdiseasetelmed2025,
apice = {NeSyAIChronicDiseaseTelmed2025},
author = {Magnini, Matteo and Ciatto, Giovanni and Ahmet Emre Kuru and Christel Sirocchi and Montagna, Sara},
booktitle = {2025 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)},
doi = {10.1109/PerComWorkshops65533.2025.00106},
editor = {Piero Castoldi and Anna Lina Ruscelli and Lorenzo Mucchi and Matti Hämäläinen},
isbn = {979-8-3315-3553-7},
keywords = {Symbolic Knowledge Injection, Neurosymbolic AI, Clinical protocols and data},
month = {17-21 March},
note = {4th International Workshop on Telemedicine and e-Health evolution in the new era of social distancing (TELMED 2025)},
pages = {446--451},
publisher = {IEEE},
title = {Neuro-Symbolic AI for Supporting Chronic Disease Diagnosis and Monitoring},
url = {https://ieeexplore.ieee.org/document/11038535},
urlpdf = {https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11038535},
year = 2025
}
0000-0002-1841-8996